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income_statement

Retrieve annual or quarterly income statements (Profit & Loss) for Indian (NSE/BSE) and US stocks, including revenue, COGS, net income, EBITDA, and EPS.

Instructions

Get income statement (Profit & Loss) for a company.

Returns revenue, COGS, gross profit, operating income, net income, EPS, EBITDA, and other P&L line items.

Works for both Indian (NSE/BSE) and US stocks.

Args: symbol: Stock ticker (e.g., RELIANCE, TCS, AAPL, MSFT) quarterly: If True, returns quarterly data. If False (default), annual data.

Examples: income_statement("RELIANCE") → Reliance annual P&L (last 4 years) income_statement("TCS", quarterly=True) → TCS quarterly P&L income_statement("AAPL") → Apple annual P&L

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes
quarterlyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full weight. It discloses the returned data categories, parameter effects (quarterly vs. annual), and includes examples illustrating the output structure. It does not mention limitations like data range or rate limits, but the disclosure is sufficient given the tool's read-only nature.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, well-organized with sections for overview, args, and examples. Every sentence adds value, and the format is easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema (not shown but present), the description complements it by listing typical line items. It covers the tool's capabilities, parameters, and usage examples, making it complete for an agent to understand and invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description fully explains both parameters: symbol (stock ticker with examples) and quarterly (boolean for quarterly/annual data) with examples. This adds complete meaning beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves an income statement (P&L) and lists key line items. It does not explicitly distinguish from sibling tools like balance_sheet or cash_flow, but the name and content make the purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides examples and states compatibility with Indian and US stocks, giving implicit usage context. However, it does not specify when to prefer this tool over siblings or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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